Data Engineer - Senior
At SOFTSWISS · Warsaw, Poland; Warszawa, Poland; Belgrade, Serbia; Beograd, Serbia; Poznan, Poland; Poznań, Poland; T'bilisi, Georgia;…
- Data and ML
- Senior
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Where you can work from
Open to Lithuania, Poland and Serbia
“Warsaw, Poland”
From the location.
“Warszawa, Poland”
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“Belgrade, Serbia”
From the location.
“Beograd, Serbia”
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“Poznan, Poland”
From the location.
“Poznań, Poland”
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Languages
Language: Russian
“Upper-intermediate proficiency in English and strong command of Russian”
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- Posted
- 2 November 2026
- First seen by us
- 3 November 2026
- Last checked
- 17 hours ago
Job description
From SOFTSWISS’s job post, as they wrote it.
Overview:
We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company.
In this role, you'll have the opportunity to:
* Work with modern data stack and AI tools to build complex solutions
* Design solutions to technical challenges and influence platform architecture
Read the full description
* Research, develop and integrate new data processing tools and technologies
Key responsibilities:
* Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies
* Ensure pipeline performance and data quality through scalable architecture and optimization
* Refine data solutions as business requirements and technical constraints evolve
* Collaborate with teams to understand data needs and support adoption of data products across the company
Required Experience:
* 5+ years of software engineering experience with expertise in development, deployment, and integration
* Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent)
* Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes
* Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake
* Experience with sourcing and modelling data from application APIs
* Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others
* Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others
* Strong analytical and problem-solving skills
* Upper-intermediate proficiency in English and strong command of Russian
Nice to have:
* Experience with workflow orchestration tools such as Apache Airflow
* Experience with Kubernetes and containerization
* Familiarity with cloud platforms (AWS, GCP, Azure, OCI)
* Familiarity with CDC and Debezium
* Familiarity with Clickhouse
* Familiarity with data quality validation frameworks for data pipelines
* Familiarity with Data Lineage
* Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr)
* Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science
Our Benefits:
* Private health insurance
* Sports benefits
* Comprehensive Mental Health Program
* Free English lessons (online)
* Local language courses
* Paid time off
* Maternity leave support
* Referral program rewards
* Upskilling, internal workshops, and participation in professional conferences and corporate events
Data Engineer - SeniorSOFTSWISS
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